Advances in Fuzzy Control
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Beschreibung
Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.
State-of-the-art description of the fuzzy approach to modern nonlinear control
Shows clearly the relationship between fuzzy and conventional control and the variety of ways in which the two enrich eachother
Autor*in
Dimiter Driankov
Themen in »Advances in Fuzzy Control«
Control Theory Fuzzy-Logik Kontrolltheorie Modellierung nichtlinearer Systeme Nonlinear Systems Modelling control fuzzy control fuzzy logic fuzzy system learning networks neural networks